Summary
Khanh Nguyen is a Senior Applied Scientist with eight years of experience bridging cutting-edge machine learning research and practical software systems, currently based in Bellevue, WA. He holds a PhD in Computer Science and has a strong academic track record with postdoctoral roles at Princeton and UC Berkeley alongside research and engineering tenures at Microsoft and Google. His work spans language-based interactive learning, imitation learning for robot navigation, contextual bandits, and large-scale representation learning, reflecting a rare blend of theory, simulation, and production experimentation. Khanh repeatedly returned to Microsoft through impactful research internships before joining full-time, showing an ability to translate academic ideas into deployable frameworks. He pairs deep probabilistic and ML expertise with hands-on software engineering—from building annotated datasets and deep embedding models to internal tools that improve data quality. Colleagues describe him as someone who moves smoothly between rigorous research and pragmatic product-driven solutions.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland
University of Massachusetts Amherst
High School Diploma, High School Diploma at VNU-HCM High School for the Gifted
English, Vietnamese